Particle_filter_SIR_demo1

首先介绍MATLAB的基本知识及基本运算，使读者对MATLAB有一个概略的了解，然后系统论述图形绘制技术的基本概念、工作原理及在工程中的应用。书中精选科学和工程中常用的多个算法，全部采用MATLAB语言编程实现，并结合实例对算法程序进行验证和分析。其中详细讲解了MATLAB的基本知识、二维图形的绘制、三维图形的绘制、高级图形绘制技术、动画与视频、几何造型及GUI的程序设计等内容。(First introduced in MATLAB basic knowledge and basic operations, allowing the reader to have a rough understanding of MATLAB and then systematically discusses the basic concepts of graphics rendering technology, working principle and in engineering. The book featured commonly used in science and engineering multiple algorithms, all using MATLAB programming language, with examples for algorithm verification and analysis. Which explained in detail the basics of MATLAB, two-dimensional graphics rendering, 3D graphics rendering, advanced graphics rendering, animation and video, geometric modeling and GUI programming and other content.)

DigiPic 函数主要功能是将一个图片形式的表格函数,获取其数据,拟合为一个解析式. 便于计算机使用 DigiPic功能描述 在matlab 2013a运行环境下,启动DigiPic 首先,导入要分析的图表照片 取点建立坐标系,坐标系在取点时同时输入对应的实际坐标值, 拖拽坐标点使其位置在图片上尽量准确,便于后面坐标的自动计算. 按右键完成坐标系的建立. 在图片上原函数图线处取点.同时自动计算函数值 在拟合页,导入函数数据.选择相应的拟合函数.自动计算出最佳参数. 在拟合前,可人工在函数列表中修改,设定参赛,使计算更快. 选择保存目录,保存数据.数据以excel文件保存,图片和数据文件最好放在一个目录里. excel文件数据可直接在其它分析软件中使用. 打开原分析文件时,可同时打开多个.( DigiPic function main function is to form an image in the form of a function, to get their data, fitting of an analytical style. To facilitate computer use DigiPic Description operating environment in matlab 2013a, start DigiPic First, import to be analyzed Charts Photos access point to establish a coordinate system, the coordinate system at the access point simultaneously enter the actual coordinate values ​ ​ corresponding to the coordinates of the point drag on the image to make it as accurate as possible location, easy to automatically calculate the coordinates back. completed by the right coordinates established. Uehara function graph in the picture at the access point. while automatically calculated in the fitting function value page data import function. choose the appropriate fitting function. automatically calculate the optimal parameters. before fitting, artificial modification in the function list, set the entry to make computing faster. choose to save)

首先确认安卓手机硬件的蓝牙模块是否支持蓝牙4.0. （手机硬件模块不支持的话，软件做的在正确也连不上！） 2. 系统升级到4.3 或更新版本 3. 资料包内的 HMBLEComAssistant.rar 可用于测试 收发(AT+BAUD0 AT+NAMEAC AT+PASS000000 //必须输入满6位 AT+TYPE1 AT+ROLE0)

IDW距离反比加权方法，一些自适应信号处理的算法，基于互功率谱的时延估计。( IDW inverse distance weighting method, Some adaptive signal processing algorithms, Based on the time delay estimation of power spectrum.)

用Matlab实现Hash算法下大篇幅文本文件中字符出现的频率的统计！非常精炼！(Hash algorithm used Matlab to achieve great length text file in the frequency character of the statistics! Very refined!)

共振峰和基音参数语音合成的模型共振峰和基音参数语音合成的模型(Formant and pitch of speech synthesis model parameters formant and pitch of speech synthesis model parameters)

，用MATLAB实现快跳频通信系统的仿真。主要应用了SIMULINK和COMMUNICATION BLOCKETS两个模块。整个设计包括了信源产生部分、发送部分、跳频调制部分、信道部分、接收部分和结果分析部分共六个模块，核心技术是伪随机序列的产生和频率合成器的设计，而关键技术是收发两端的伪随机码元的同步。伪随机码的产生用S－函数编程来开发自己的SIMULINK模块。同步的实现是收发两端采用相同的扩频脉冲触发。而且在设计中每个模块都采用了模块封装技术，从而简化了框图结构(Using MATLAB to achieve fast frequency-hopping communication system simulation. The main use of SIMULINK and COMMUNICATION BLOCKETS two modules. The whole design, including part of the generated source, sending part of some frequency-hopping modulation, channel of the receiving part and the results of analysis of part of a total of six modules, the core technology is the emergence of pseudo-random sequence and frequency synthesizer design, and the key technology is the transceivers at both ends of the pseudo-random synchronization symbol. Pseudo-random code generated by S-function programming to develop their own modules SIMULINK. Synchronization is used to send and receive ends of the same spread-spectrum pulse trigger. But also in the design of each module using the module packaging technology, which simplifies the structure of the diagram)

说明：  本程序是对语音信号去除噪声。MATLAB编写(This procedure is a speech signal to remove noise. MATLAB prepared)

This is a simple program solving a math problem of linear system.

能量检测，根据以URKOWITZ 在1967年发表的能量检测文章以及Digham 2003、Ghasemi 2007发表的一系列文章为参考， 在AWGN信道中，给定SNR下，先产生一个原始信号（单音或者BPSK基带信号），然后叠加高斯噪声， 再进行能量检测(Energy detection, according to URKOWITZ the energy released in the 1967 test articles, and Digham 2003, Ghasemi 2007 series of articles published as a reference, in the AWGN channel, for a given SNR, the first generating an original signal (mono or BPSK baseband signal), and then superimposed Gaussian noise, then the energy detection)